initial

venv/lib/python3.12/site-packages/cv2/barcode/__init__.pyi

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+__all__: list[str] = []
+
+import cv2
+import cv2.typing
+import typing as _typing
+
+
+# Classes
+class BarcodeDetector(cv2.GraphicalCodeDetector):
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, prototxt_path: str, model_path: str) -> None: ...
+
+    @_typing.overload
+    def decodeWithType(self, img: cv2.typing.MatLike, points: cv2.typing.MatLike) -> tuple[bool, _typing.Sequence[str], _typing.Sequence[str]]: ...
+    @_typing.overload
+    def decodeWithType(self, img: cv2.UMat, points: cv2.UMat) -> tuple[bool, _typing.Sequence[str], _typing.Sequence[str]]: ...
+
+    @_typing.overload
+    def detectAndDecodeWithType(self, img: cv2.typing.MatLike, points: cv2.typing.MatLike | None = ...) -> tuple[bool, _typing.Sequence[str], _typing.Sequence[str], cv2.typing.MatLike]: ...
+    @_typing.overload
+    def detectAndDecodeWithType(self, img: cv2.UMat, points: cv2.UMat | None = ...) -> tuple[bool, _typing.Sequence[str], _typing.Sequence[str], cv2.UMat]: ...
+
+    def getDownsamplingThreshold(self) -> float: ...
+
+    def setDownsamplingThreshold(self, thresh: float) -> BarcodeDetector: ...
+
+    def getDetectorScales(self) -> _typing.Sequence[float]: ...
+
+    def setDetectorScales(self, sizes: _typing.Sequence[float]) -> BarcodeDetector: ...
+
+    def getGradientThreshold(self) -> float: ...
+
+    def setGradientThreshold(self, thresh: float) -> BarcodeDetector: ...
+
+
+